# LinkedIn Companies Scraper - $0.90/1k, No Login (`dami_studio/linkedin-companies-scraper`) Actor

Enrich your CRM for pennies. Paste public /company/ URLs and get name, description, follower count, employee count, headquarters and address, website and logo. No login, no cookies. $0.90 per 1,000 companies ($0.0009 each) plus a $0.001 run-start fee - flat rate, no volume tiers.

- **URL**: https://apify.com/dami\_studio/linkedin-companies-scraper.md
- **Developed by:** [Dami's Studio](https://apify.com/dami_studio) (community)
- **Categories:** Lead generation, Developer tools, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.90 / 1,000 public company profiles

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## LinkedIn Companies Scraper

Extract the data LinkedIn exposes publicly on supplied company profile URLs. This actor is for public company-profile pages only: it does not request a login, cookies, employee search, hidden tabs, or authenticated/private endpoints.

### Input

```json
{
  "companyUrls": [
    "https://www.linkedin.com/company/apify/",
    "https://www.linkedin.com/company/microsoft/"
  ],
  "maxCompanies": 10
}
```

Use public URLs matching `https://www.linkedin.com/company/<company-slug>/`. The actor does not resolve a company name or website domain into a LinkedIn URL, because that would require a separate search data source and would make the result less predictable.

| Field | Default | Notes |
|---|---|---|
| `companyUrls` | `[]` | Up to 100 public `/company/<slug>/` URLs per run. Empty input returns one labeled, uncharged sample row. |
| `maxCompanies` | `10` | 1–100. Caps how many valid URLs are actually requested, so you can paste a long list and still bound the spend. |
| `requestTimeoutSecs` | `20` | 5–60 seconds for a single company page request. |

### Output

Each real row contains only fields found in a public LinkedIn page's `Organization` JSON-LD or public metadata:

- `name`, `description`, `companyUrl`, and `companySlug`
- `followerCount` when LinkedIn exposes it in public metadata
- `employeeCount` when LinkedIn exposes a public JSON-LD value
- `headquarters` and structured `address` when exposed
- `website` and `logoUrl` when exposed
- `transport` (`direct_http`) and `retrievedAt`

Missing public fields are `null`; the actor does not infer industry, funding, employee lists, contacts, revenue, or data behind a sign-in wall.

### Diagnostics instead of silent gaps

Every URL that does not produce a company row produces a labeled diagnostic row instead: `BAD_INPUT` (not a `/company/` URL), `BLOCKED` (LinkedIn's 999/403 or a security-verification interstitial), `RATE_LIMITED`, `NOT_FOUND`, or `NO_RESULTS` when the page loads but carries no matching public `Organization` JSON-LD. You can always reconcile input count against row count.

### Proxy policy

The actor uses direct HTTP only. It never starts a residential proxy, so a blocked page returns an uncharged diagnostic rather than quietly spending proxy credit.

### Empty input

Empty input produces exactly one `_sample: true` sample row. It is clearly labeled and never charged for a company, so the actor can be evaluated without a LinkedIn request or proxy use.

### Pricing

**$0.90 per 1,000 companies** ($0.0009 each), plus **$0.001 each time a run starts**. Flat rate — no volume tiers, no plan gates — and only rows that parse as genuine public company profiles trigger the `company` charge event.

Invalid input, blocked pages, not-found and parse failures, duplicates, samples and diagnostics never incur the per-company fee; a run that returns nothing costs only the $0.001 start fee. Rows are written to the dataset before the charge call, so you can always audit what you paid for. Because `companyUrls` takes 100 URLs in one run, a full 100-company batch costs $0.09 plus a single $0.001 start.

# Actor input Schema

## `companyUrls` (type: `array`):

Public URLs in the form https://www.linkedin.com/company/company-slug/. Empty input returns one clearly labeled, uncharged sample row.

## `maxCompanies` (type: `integer`):

Maximum valid public company URLs to request. Invalid inputs return free diagnostic rows.

## `requestTimeoutSecs` (type: `integer`):

Timeout for one company page request.

## Actor input object example

```json
{
  "companyUrls": [
    "https://www.linkedin.com/company/apify/",
    "https://www.linkedin.com/company/microsoft/"
  ],
  "maxCompanies": 10,
  "requestTimeoutSecs": 20
}
```

# Actor output Schema

## `results` (type: `string`):

One normalized row for each public company profile parsed successfully. Sample and diagnostic rows are always clearly labeled and never charged.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("dami_studio/linkedin-companies-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("dami_studio/linkedin-companies-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call dami_studio/linkedin-companies-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,dami_studio/linkedin-companies-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/X6cdzFhWPjpLSgvoU/builds/VKDyRZe0BQYHZ69sc/openapi.json